title: Ultrafast automated image cytometry for cancer detection.
abstract: We present a method for ultrafast automated single-cell optical microscopy that performs blur-free image acquisition and non-stop real-time image-recording and classification of cells during high-speed flow. This method is based on a unique integration of ultrafast optical imaging, self-focusing microfluidics, optoelectronics, and information technology. To show the system's utility, we demonstrate high-throughput image-based screening of rare breast cancer cells in blood with an unprecedented throughput of 100,000 cells/s and a record false positive rate of one in a million. This method is expected to be effective for early, noninvasive, low-cost detection of cancer.
authors.forename: Keisuke
authors.initials: K
authors.lastname: Goda
authors.forename: Dino
authors.initials: D
authors.lastname: Di Carlo
authors.forename: Bahram
authors.initials: B
authors.lastname: Jalali
mesh_terms: D001331:Automation; D001773:Blood Cells / Q000473:pathology; D001943:Breast Neoplasms / Q000175:diagnosis*; D005260:Female; D006801:Humans; D019044:Image Cytometry / Q000295:instrumentation / Q000379:methods*; D061986:MCF-7 Cells; D044085:Microfluidics; D008853:Microscopy; D012372:ROC Curve; D013997:Time Factors